三大机器翻译技术的high-level概述：Neural, Rule-Based and Phrase-Based Machine Translation

时间 2021-01-07

标签 Neural Machine Trans Rule-Based Machine T Phrase-Based Machine machine translation 繁體版

原文原文链接

http://blog.systransoft.com/how-does-neural-machine-translation-work/ In this issue of step-by-step articles, we explain how neural machine translation (NMT) works and compare it with existing technol

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1. 神经网络机器翻译Neural Machine Translation: Attention Mechanism
2. 基于树模型的机器翻译《Forest-Based Neural Machine Translation》
3. 无监督机器翻译Unsupervised Neural Machine Translation with SMT as Posterior Regularization
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5. CS224n-Lecture8-Machine Translation, Seq2Seq and Attention
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9. Neural Machine Translation by Jointly Learning to Align and....
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1. 神经网络机器翻译Neural Machine Translation: Attention Mechanism
2. 基于树模型的机器翻译《Forest-Based Neural Machine Translation》
3. 无监督机器翻译Unsupervised Neural Machine Translation with SMT as Posterior Regularization
4. 无监督神经机器翻译Unsupervised Neural Machine Translation with Weight Sharing
5. CS224n-Lecture8-Machine Translation, Seq2Seq and Attention
6. Bridging the Gap between Training and Inference for Neural Machine Translation翻译
7. 【cs224n-7】Machine Translation, Seq2Seq and Attention
8. lecture8 - Machine Translation Seq2Seq and Attention
9. Neural Machine Translation by Jointly Learning to Align and....
10. Neural Machine Translation by Jointly Learning to Align and Translate

>>更多相关文章<<